Energy Data Scientist
Energy Data Scientist
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1 Vacancy
Job Description
About the Role
As an Energy Data Scientist you will play a key role in analyzing and optimizing energy systems predicting demand and supporting sustainability initiatives through advanced data analytics and machine learning. This position requires a combination of strong analytical skills knowledge of energy systems and expertise in machine learning to enhance energy efficiency and innovation.
Responsibilities
- Collect clean and analyze large datasets from energy sources (e.g. grid data renewable sources smart meters).
- Develop predictive models for energy consumption generation forecasting and load balancing.
- Use machine learning and statistical models to optimize energy distribution and storage.
- Perform timeseries analysis to predict demand fluctuations and prevent energy shortfalls or surpluses.
- Work closely with engineering teams to implement datadriven solutions across energy systems.
- Conduct exploratory data analysis (EDA) to uncover insights and recommend actionable strategies.
- Develop and maintain data pipelines ensuring realtime access to data for model training and validation.
- Communicate findings and present data insights to stakeholders and decisionmakers.
Required Qualifications
- Education: Bachelors degree in Data Science Computer Science Engineering Statistics or a related field (Masters or Ph.D. preferred).
- Experience: 3 years of experience in data science with a focus on energy or utilities preferred.
- Technical Skills:
- Proficiency in Python R SQL and data visualization tools (e.g. Tableau Power BI).
- Experience with machine learning frameworks such as TensorFlow PyTorch or ScikitLearn.
- Strong understanding of timeseries analysis statistical modeling and predictive analytics.
- Familiarity with big data tools like Hadoop Spark or cloudbased solutions (e.g. AWS Azure).
- Domain Knowledge: Understanding of energy systems power grids and renewable energy sources is a strong advantage.
Preferred Skills
- Experience with optimization algorithms and realtime data processing.
- Familiarity with industrial IoT data and sensor technologies.
- Knowledge of carbon emissions tracking and sustainability metrics.
- Ability to communicate complex technical findings to nontechnical stakeholders.
Employment Type
Full Time
